How to use Borsa356/bert_mnr_6 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Borsa356/bert_mnr_6") sentences = [ "The dog wades through deep snow with something in its mouth.", "The dog is outside during winter.", "A man is wearing a helmet.", "There are dogs racing at a track." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
https://huggingface.co/Borsa356/bert_mnr_6/resolve/main/tokenizer.json
hf download hf://Borsa356/bert_mnr_6/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/Borsa356/bert_mnr_6/resolve/main/tokenizer.json
